From e7b04341d9fcda5d7c12edfee8a920393ae109ec Mon Sep 17 00:00:00 2001 From: Sirshendu Ganguly Date: Mon, 24 Nov 2025 21:07:15 -0500 Subject: [PATCH] refactor: Remove custom dimensions from video inference, simplify dimension logic Add Pruna Image Edit workflow --- clientlibs/utils.js | 162 +----------------- modules/videoInference.py | 37 +--- modules/videoModelSearch.py | 28 +-- .../Runware_Image_Inference_Pruna_Image.json | 1 + workflows/Runware_Video_Inference_Kling.json | 2 +- workflows/Runware_Video_Inference_Luma.json | 2 +- ...o_Inference_Minimax_Provider_Settings.json | 2 +- .../Runware_Video_Inference_Omnihuman1_5.json | 2 +- ...nware_Video_Inference_PixverseLipSync.json | 2 +- ...Video_Inference_PixverseLipSyncSpeech.json | 2 +- .../Runware_Video_Inference_Runway_Aleph.json | 2 +- ...are_Video_Inference_Runway_Gen4_Turbo.json | 2 +- workflows/Runware_Video_Inference_Veo3_1.json | 2 +- ...re_Video_Inference_Veo3_1_FrameImages.json | 2 +- ...are_Video_Inference_Wan2_2_Last_Frame.json | 2 +- 15 files changed, 38 insertions(+), 212 deletions(-) create mode 100644 workflows/Runware_Image_Inference_Pruna_Image.json diff --git a/clientlibs/utils.js b/clientlibs/utils.js index 49ad500..a5d7f6f 100644 --- a/clientlibs/utils.js +++ b/clientlibs/utils.js @@ -1335,40 +1335,7 @@ function imageInferenceToggleHandler(imageInferenceNode) { } function videoInferenceDimensionsHandler(videoInferenceNode) { - const widthWidget = videoInferenceNode.widgets.find(w => w.name === "width"); - const heightWidget = videoInferenceNode.widgets.find(w => w.name === "height"); - const useCustomDimensionsWidget = videoInferenceNode.widgets.find(w => w.name === "useCustomDimensions"); - - if (!widthWidget || !heightWidget || !useCustomDimensionsWidget) return; - - const MODEL_DIMENSIONS = { - "klingai:1@2": {width: 1280, height: 720}, "klingai:1@1": {width: 1280, height: 720}, - "klingai:2@2": {width: 1920, height: 1080}, "klingai:2@1": {width: 1280, height: 720}, - "klingai:3@1": {width: 1280, height: 720}, "klingai:3@2": {width: 1920, height: 1080}, - "klingai:4@3": {width: 1280, height: 720}, "klingai:5@1": {width: 1280, height: 720}, - "klingai:5@2": {width: 1920, height: 1080}, "klingai:5@3": {width: 1920, height: 1080}, - "klingai:6@1": {width: 1920, height: 1080}, - "klingai:7@1": {width: 0, height: 0}, - "google:2@0": {width: 1280, height: 720}, "google:3@0": {width: 1280, height: 720}, - "google:3@1": {width: 1280, height: 720}, "google:3@2": {width: 1280, height: 720}, - "google:3@3": {width: 1280, height: 720}, - "bytedance:2@1": {width: 864, height: 480}, "bytedance:1@1": {width: 864, height: 480}, - "bytedance:5@1": {width: 1024, height: 1024}, "bytedance:5@2": {width: 1024, height: 1024}, - "minimax:1@1": {width: 1366, height: 768}, "minimax:2@1": {width: 1366, height: 768}, - "minimax:2@3": {width: 1366, height: 768}, "minimax:3@1": {width: 1366, height: 768}, - "minimax:4@1": {width: 1366, height: 768}, "minimax:4@2": {width: 1366, height: 768}, - "pixverse:1@1": {width: 640, height: 360}, "pixverse:1@2": {width: 640, height: 360}, - "pixverse:1@3": {width: 640, height: 360}, "pixverse:lipsync@1": {width: 640, height: 360}, - "vidu:1@0": {width: 1920, height: 1080}, "vidu:1@1": {width: 1920, height: 1080}, - "vidu:1@5": {width: 1920, height: 1080}, "vidu:2@0": {width: 1920, height: 1080}, - "runware:200@1": {width: 853, height: 480}, "runware:200@2": {width: 853, height: 480}, - "runware:200@6": {width: 1280, height: 720}, - "openai:3@1": {width: 1280, height: 720}, "openai:3@0": {width: 1280, height: 720}, - "lightricks:2@0": {width: 1920, height: 1080}, "lightricks:2@1": {width: 1920, height: 1080}, - "runware:190@1": {width: 0, height: 0}, - }; - - // Find other "use" parameter widgets for Video Inference + // Find "use" parameter widgets for Video Inference const useDurationWidget = videoInferenceNode.widgets.find(w => w.name === "useDuration"); const durationWidget = videoInferenceNode.widgets.find(w => w.name === "duration"); const useFpsWidget = videoInferenceNode.widgets.find(w => w.name === "useFps"); @@ -1378,14 +1345,14 @@ function videoInferenceDimensionsHandler(videoInferenceNode) { const useStepsWidget = videoInferenceNode.widgets.find(w => w.name === "useSteps"); const stepsWidget = videoInferenceNode.widgets.find(w => w.name === "steps"); - // Helper function to toggle widget enabled state (exact same pattern as toggleDimensionsEnabled) + // Helper function to toggle widget enabled state function toggleWidgetState(useWidget, paramWidget, paramName) { if (!useWidget || !paramWidget) return; function toggleEnabled() { const enabled = useWidget.value === true; - // Disable/enable widgets using inputEl if available (exact same pattern) + // Disable/enable widgets using inputEl if available if (paramWidget.inputEl) { paramWidget.inputEl.disabled = !enabled; paramWidget.inputEl.style.opacity = enabled ? "1" : "0.5"; @@ -1415,7 +1382,7 @@ function videoInferenceDimensionsHandler(videoInferenceNode) { videoInferenceNode.setDirtyCanvas(true); } - // Set up callback (exact same pattern as useCustomDimensions) + // Set up callback appendWidgetCB(useWidget, () => { setTimeout(toggleEnabled, 50); }); @@ -1424,59 +1391,7 @@ function videoInferenceDimensionsHandler(videoInferenceNode) { setTimeout(toggleEnabled, 100); } - function toggleDimensionsEnabled() { - const isCustom = useCustomDimensionsWidget.value === true; - - // Disable/enable widgets using inputEl if available - if (widthWidget) { - if (widthWidget.inputEl) { - widthWidget.inputEl.disabled = !isCustom; - widthWidget.inputEl.style.opacity = isCustom ? "1" : "0.5"; - widthWidget.inputEl.style.cursor = isCustom ? "text" : "not-allowed"; - widthWidget.inputEl.readOnly = !isCustom; - } - // Also set widget property - widthWidget.disabled = !isCustom; - } - - if (heightWidget) { - if (heightWidget.inputEl) { - heightWidget.inputEl.disabled = !isCustom; - heightWidget.inputEl.style.opacity = isCustom ? "1" : "0.5"; - heightWidget.inputEl.style.cursor = isCustom ? "text" : "not-allowed"; - heightWidget.inputEl.readOnly = !isCustom; - } - // Also set widget property - heightWidget.disabled = !isCustom; - } - - // Fallback: try to find inputs via DOM if inputEl is not available - if (!widthWidget.inputEl || !heightWidget.inputEl) { - const nodeElement = videoInferenceNode.htmlElements?.widgetsContainer || videoInferenceNode.htmlElements; - if (nodeElement) { - const widthInput = nodeElement.querySelector(`input[name="width"]`); - const heightInput = nodeElement.querySelector(`input[name="height"]`); - - if (widthInput) { - widthInput.disabled = !isCustom; - widthInput.style.opacity = isCustom ? "1" : "0.5"; - widthInput.style.cursor = isCustom ? "text" : "not-allowed"; - widthInput.readOnly = !isCustom; - } - - if (heightInput) { - heightInput.disabled = !isCustom; - heightInput.style.opacity = isCustom ? "1" : "0.5"; - heightInput.style.cursor = isCustom ? "text" : "not-allowed"; - heightInput.readOnly = !isCustom; - } - } - } - - videoInferenceNode.setDirtyCanvas(true); - } - - // Set up all toggle handlers for "use" parameters (useCustomDimensions is handled separately below) + // Set up all toggle handlers for "use" parameters if (useDurationWidget && durationWidget) { toggleWidgetState(useDurationWidget, durationWidget, "duration"); } @@ -1492,65 +1407,6 @@ function videoInferenceDimensionsHandler(videoInferenceNode) { if (useStepsWidget && stepsWidget) { toggleWidgetState(useStepsWidget, stepsWidget, "steps"); } - - function updateDimensions() { - if (useCustomDimensionsWidget.value === true) return; - - const modelInput = videoInferenceNode.inputs.find(input => input.name === "Model"); - let model = null; - - if (modelInput && modelInput.link) { - const link = app.graph.links[modelInput.link]; - if (link) { - const sourceNode = app.graph.getNodeById(link.origin_id); - if (sourceNode && sourceNode.imgs && sourceNode.imgs.length > 0) { - const modelValue = sourceNode.imgs[0]; - model = typeof modelValue === "object" && modelValue.model ? modelValue.model : modelValue; - } - } - } - - if (!model) { - const modelWidget = videoInferenceNode.widgets.find(w => w.name === "Model"); - if (modelWidget && modelWidget.value) { - const modelValue = modelWidget.value; - model = typeof modelValue === "object" && modelValue.model ? modelValue.model : modelValue; - } - } - - if (model && MODEL_DIMENSIONS[model]) { - const dims = MODEL_DIMENSIONS[model]; - if (dims.width !== 0 && dims.height !== 0) { - if (widthWidget.callback) widthWidget.callback(dims.width, "customSetOperation"); - if (heightWidget.callback) heightWidget.callback(dims.height, "customSetOperation"); - videoInferenceNode.setDirtyCanvas(true); - } - } - } - - const originalOnConnect = videoInferenceNode.onConnect; - videoInferenceNode.onConnect = function(...args) { - if (originalOnConnect) originalOnConnect.apply(this, args); - setTimeout(() => { - updateDimensions(); - toggleDimensionsEnabled(); - }, 100); - }; - - if (useCustomDimensionsWidget) { - appendWidgetCB(useCustomDimensionsWidget, () => { - setTimeout(() => { - updateDimensions(); - toggleDimensionsEnabled(); - }, 100); - }); - } - - // Initial setup - setTimeout(() => { - updateDimensions(); - toggleDimensionsEnabled(); - }, 200); } function videoModelSearchFilterHandler(videoModelSearchNode) { @@ -1558,7 +1414,7 @@ function videoModelSearchFilterHandler(videoModelSearchNode) { const videoListWidget = videoModelSearchNode.widgets.find(w => w.name === "VideoList"); const widthWidget = videoModelSearchNode.widgets.find(w => w.name === "Width"); const heightWidget = videoModelSearchNode.widgets.find(w => w.name === "Height"); - const useResolutionWidget = videoModelSearchNode.widgets.find(w => w.name === "useResolution"); + const useCustomDimensionsWidget = videoModelSearchNode.widgets.find(w => w.name === "useCustomDimensions"); if (!modelArchWidget || !videoListWidget) return; @@ -1689,7 +1545,7 @@ function videoModelSearchFilterHandler(videoModelSearchNode) { const selectedModel = videoListWidget.value; if (!selectedModel) return; - if (useResolutionWidget && !useResolutionWidget.value) { + if (useCustomDimensionsWidget && !useCustomDimensionsWidget.value) { setWidthHeightEnabled(false); if (widthWidget.callback) widthWidget.callback(0, "customSetOperation"); widthWidget.value = 0; @@ -1743,8 +1599,8 @@ function videoModelSearchFilterHandler(videoModelSearchNode) { if (videoListWidget) { appendWidgetCB(videoListWidget, updateDimensions); } - if (useResolutionWidget) { - appendWidgetCB(useResolutionWidget, () => { + if (useCustomDimensionsWidget) { + appendWidgetCB(useCustomDimensionsWidget, () => { updateDimensions(); }); } diff --git a/modules/videoInference.py b/modules/videoInference.py index 22bbd5b..2f61242 100644 --- a/modules/videoInference.py +++ b/modules/videoInference.py @@ -21,26 +21,6 @@ class txt2vid: "default": "Disabled", "tooltip": "Prompt weighting allows you to adjust how strongly different parts of your prompt influence the generated video.\n\nChoose between \"compel\" notation with advanced weighting operations or \"sdEmbeds\" for simple emphasis adjustments.\n\nCompel Example: \"small+ dog, pixar style\"\n\nsdEmbeds Example: \"(small:2.5) dog, pixar style\"", }), - "useCustomDimensions": ("BOOLEAN", { - "tooltip": "Model Default: Uses optimal dimensions for selected model. Custom: Uses width/height values below.", - "default": False, - "label_on": "Custom", - "label_off": "Model Default", - }), - "width": ("INT", { - "tooltip": "Width in pixels. Only used when 'Custom' is selected above.", - "default": 1024, - "min": 256, - "max": 1920, - "step": 1, - }), - "height": ("INT", { - "tooltip": "Height in pixels. Only used when 'Custom' is selected above.", - "default": 576, - "min": 256, - "max": 1920, - "step": 1, - }), "useDuration": ("BOOLEAN", { "tooltip": "Enable to include duration parameter in API request. Disable if your model doesn't support duration.", "default": True, @@ -178,9 +158,6 @@ class txt2vid: safetyInputs = kwargs.get("safetyInputs", None) videoAdvancedFeatureInputs = kwargs.get("videoAdvancedFeatureInputs", None) runwareAccelerator = kwargs.get("Accelerator", None) - useCustomDimensions = kwargs.get("useCustomDimensions", False) - customWidth = kwargs.get("width", None) - customHeight = kwargs.get("height", None) useDuration = kwargs.get("useDuration", True) duration = kwargs.get("duration", 5) fps = kwargs.get("fps", 24) @@ -196,20 +173,10 @@ class txt2vid: # Handle model input - could be dict or string if isinstance(runwareVideoModel, dict): model = runwareVideoModel.get("model", "") - model_use_resolution = runwareVideoModel.get("useResolution", True) + width = runwareVideoModel.get("width") + height = runwareVideoModel.get("height") else: model = runwareVideoModel - model_use_resolution = True - - # Determine dimensions based on custom setting and model defaults - if useCustomDimensions: - width = customWidth - height = customHeight - elif model_use_resolution: - modelDimensions = videoModelSearch.MODEL_DIMENSIONS.get(model, {"width": 1024, "height": 576}) - width = modelDimensions.get("width", None) - height = modelDimensions.get("height", None) - else: width = None height = None diff --git a/modules/videoModelSearch.py b/modules/videoModelSearch.py index 9687055..5d88db5 100644 --- a/modules/videoModelSearch.py +++ b/modules/videoModelSearch.py @@ -196,11 +196,11 @@ class videoModelSearch: "label_on": "Enabled", "label_off": "Disabled", }), - "useResolution": ("BOOLEAN", { - "tooltip": "Enable to automatically use the model's recommended resolution. Disable to output 0x0 and set custom resolution downstream.", - "default": True, - "label_on": "Enabled", - "label_off": "Disabled", + "useCustomDimensions": ("BOOLEAN", { + "tooltip": "Enable to use custom Width/Height values set below. Disable to automatically use the model's recommended resolution.", + "default": False, + "label_on": "Custom", + "label_off": "Model Default", }), "Width": ("INT", { "default": defaultDims["width"], @@ -243,7 +243,7 @@ class videoModelSearch: searchInput = kwargs.get("Model Search") customWidth = kwargs.get("Width", 0) customHeight = kwargs.get("Height", 0) - useResolution = kwargs.get("useResolution", True) + useCustomDimensions = kwargs.get("useCustomDimensions", True) if enableSearchValue: modelAirCode = searchInput @@ -253,16 +253,18 @@ class videoModelSearch: dimensions = self.MODEL_DIMENSIONS.get(modelAirCode, self.DEFAULT_DIMENSIONS) - if useResolution: + if useCustomDimensions: + # Use custom dimensions from Width/Height widgets + width = customWidth + height = customHeight + else: + # Use model default dimensions width = dimensions["width"] height = dimensions["height"] - - else: - width = None - height = None return ({ "model": modelAirCode, - "useResolution": useResolution, - "useResolution": useResolution, + "useCustomDimensions": useCustomDimensions, + "width": width, + "height": height, }, width, height) diff --git a/workflows/Runware_Image_Inference_Pruna_Image.json b/workflows/Runware_Image_Inference_Pruna_Image.json new file mode 100644 index 0000000..59ed96c --- /dev/null +++ b/workflows/Runware_Image_Inference_Pruna_Image.json @@ -0,0 +1 @@ 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upload","name":"upload","type":"IMAGEUPLOAD","widget":{"name":"upload"},"link":null}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","links":[16]},{"localized_name":"MASK","name":"MASK","type":"MASK","links":null}],"properties":{"cnr_id":"comfy-core","ver":"0.3.46","Node name for S&R":"LoadImage"},"widgets_values":["object1.jpg","image"]},{"id":2,"type":"Runware Image Inference Inputs","pos":[-13.423270225524902,664.4398193359375],"size":[243.01620483398438,210],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"image","name":"image","shape":7,"type":"IMAGE","link":null},{"localized_name":"Reference Image 1","name":"Reference Image 1","shape":7,"type":"IMAGE","link":16},{"localized_name":"Reference Image 2","name":"Reference Image 2","shape":7,"type":"IMAGE","link":null},{"localized_name":"Reference Image 3","name":"Reference Image 3","shape":7,"type":"IMAGE","link":null},{"localized_name":"Reference Image 4","name":"Reference Image 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